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@devopslinks shared a link, 1 month, 2 weeks ago
FAUN.dev()

The Software Development Lifecycle Is Dead

AI agents collapse the classicSDLC-requirements,design,implementation,testing,review,deployment- into an intent-driven loop. They generate code, tests, and pipelines together. They commit tomain. Automated verification runs. Deployment and release split withfeature flags... read more  

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@devopslinks shared a link, 1 month, 2 weeks ago
FAUN.dev()

The Silent Failure of Reliability Metrics at Scale: Lessons Learned from a Decade of Broken Metrics

At scale, observability breaks whenSLIsand metrics mix different behaviors and lose clear meaning. Complexity grows: more event types, extra labels, and risingcardinality. That bloats queries, slows evaluation pipelines, and distortsPrometheus,PromQL, andElasticmetrics. Why this matters:Teams must t.. read more  

The Silent Failure of Reliability Metrics at Scale: Lessons Learned from a Decade of Broken Metrics
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@devopslinks shared a link, 1 month, 2 weeks ago
FAUN.dev()

The Human Infrastructure: How Netflix Built the Operations Layer Behind Live at Scale

Netflix has massively scaled its live content, now streaming over nine shows per day with up to 17.9M peak viewers per game, thanks to a complex Broadcast Operations Center, strict transmission quality standards, and a tiered human operations model, including specialized engineering teams and dedica.. read more  

The Human Infrastructure: How Netflix Built the Operations Layer Behind Live at Scale
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@devopslinks shared an update, 1 month, 2 weeks ago
FAUN.dev()

Ubuntu's Next Chapter: Local AI, Confined Agents, and a Bet Against the Cloud-First OS

Ubuntu Ollama Snap

Ubuntu is getting local AI as a native capability over the next year, with inference snaps that install models like any other package, AI-powered accessibility features, and confined agentic workflows for both desktops and server fleets. Canonical is betting on open weight models, local-by-default inference, and snap confinement, a deliberate counter to the cloud-first AI direction Microsoft, Apple, and Google are taking with their operating systems.

Ubuntu's Next Chapter: Local AI, Confined Agents, and a Bet Against the Cloud-First OS
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@devopslinks added a new tool Snap , 1 month, 2 weeks ago.
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@kala added a new tool Ollama , 1 month, 2 weeks ago.
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@sancharini shared a post, 1 month, 2 weeks ago

Building Automated Regression Testing From Scratch: A Complete Walkthrough

Learn how to build automated regression testing from scratch in 4-6 weeks. Step-by-step walkthrough covering phases, implementation, tools, and avoiding mistakes.

regression testing services
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@elsie-rainee shared a post, 1 month, 2 weeks ago
Full Stack Engineer, WPWeb Infotech

Android Architecture: Components, Patterns & Best Practices Guide

Learn Android architecture with components, patterns, and best practices to build mobile apps that are scalable, easy to maintain, and high-performing.

Android Architecture
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@viktoriiagolovtseva shared a post, 1 month, 2 weeks ago

Online event planning template

Planning a webinar, workshop, or team-wide event in Jira? You’re not alone. When you’re managing internal demos, customer-facing webinars, or company-wide town halls, event coordination takes effort and often involves stakeholders across departments.

Missed deadlines, unclear responsibilities, or last-minute changes can turn even a small event into a major time sink. But there’s good news: you can streamline your event workflows using the tools your team already uses.

Instead of juggling spreadsheets, emails, and calendar invites, create a customizable event planning template in Jira. It brings everything into one place, supports collaboration, and helps you keep track of dependencies, deliverables, and last-minute requests in real time.

Zrzut ekranu 2026-05-01 150322
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@viktoriiagolovtseva shared a post, 1 month, 2 weeks ago

Performance Review Template That Actually Works

Hiring the right person is only half the equation — helping them grow is the other

Zrzut ekranu 2026-05-01 131816
Winston AI is an advanced, all-in-one content verification platform designed to deliver the most accurate AI content detection available today. Recognized as the best AI detector by educators, students, publishers, journalists, researchers, and businesses worldwide, Winston AI helps users confidently verify whether content is written by a human, generated by AI, or a combination of both.

Built for academic, professional, and enterprise use, Winston AI addresses the growing need for transparency and authenticity in an AI-driven world. Whether reviewing essays, research papers, articles, marketing content, or digital publications, Winston AI provides fast, reliable, and explainable results that users can trust.

At the core of Winston AI is a powerful AI content checker capable of identifying text generated by ChatGPT, Claude, Google Gemini, and all known AI models. Winston AI continuously updates its detection systems to keep pace with the rapidly evolving AI landscape, ensuring consistent accuracy even as new models and writing techniques emerge.

Winston AI analyzes content at a deep linguistic level, evaluating structure, predictability, and stylistic patterns to distinguish AI-generated text from human writing. This advanced approach reduces false positives and delivers clear probability scores, helping users make informed decisions without uncertainty.

Winston AI goes beyond basic AI detection by offering a comprehensive suite of tools designed to support content authenticity, credibility, and integrity across multiple formats.

AI Detector
Accurately identifies AI-generated, human-written, and mixed text with detailed confidence scores and sentence-level insights.

Plagiarism Checker
Detects copied or unoriginal content across academic and professional sources, supporting originality and ethical content creation.

Fact Checker Tool
Helps verify claims and statements within content, reducing misinformation and improving accuracy for research, journalism, and publishing.

AI Image & Deepfake Detector
Analyzes images to determine whether they were generated or manipulated by AI, helping users identify synthetic visuals and deepfake content.

Writing Feedback
Provides actionable feedback on clarity, structure, and quality, supporting students, educators, and professionals in improving written work.

HUMN-1 Website Certification
Allows websites to display a trust signal certifying human-verified content, reinforcing transparency and credibility with audiences and search engines.

Together, these tools make Winston AI a complete solution for verifying authenticity, accuracy, originality, and credibility across text, images, and websites.